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Predicting multi-environment evolvability to control evolution in E. coli

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Français - Anglais

Date Limite Candidature : lundi 2 août 2021

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General information

Reference : UMR8023-SIMCOC-003
Workplace : PARIS 05
Date of publication : Monday, July 12, 2021
Scientific Responsible name : Simona Cocco
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 November 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

Can evolution be predicted and controlled in the long run? Despite its tremendous importance for medical, engineering, and ecological applications, this goal remains elusive. One of the reasons is that the interplay between multiple external factors is complex and hard to account for and is itself evolving over time.
The scope of the PhD will be to address this issue in the context of E. coli exposed multiple drugs. We will develop and test strategies for bringing E. coli into desired phenotypic states through dynamically controlled protocols with time-varying concentrations of drugs. Theoretical and data-driven models will be developed in the LPENS group, while experiments necessary to build and validate the models will be realized in the Furusawa group, who has developed unique experimental setups for this purpose.

Work Context

The doctoral student will work within the Statistical Physics and Inference for Biology team at LPENS. His/her role will be to develop models of the evolution of E.coli under cocktails of antibiotics in variable concentrations, in close collaboration with the group of C. Furusawa in Tokyo.

Constraints and risks

No specific risk

Additional Information

Project funded by CNRS in collaboration with the University of Tokyo

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